BIP! Finder - A benchmark of Spanish language datasets for computationally driven research

2021 • A benchmark of Spanish language datasets for computationally driven research

Authors: Gustavo Candela; María-Dolores Sáez; Pilar Escobar; Manuel Marco-Such

Venue: Journal of Information Science

Type: Publication

Abstract: In the domain of Galleries, Libraries, Archives and Museums (GLAM) institutions, creative and innovative tools and methodologies for content delivery and user engagement have recently gained international attention. New methods have been proposed to publish digital collections as datasets amenable to computational use. Standardised benchmarks can be useful to broaden the scope of machine-actionable collections and to promote cultural and linguistic diversity. In this article, we propose a methodology to select datasets for computationally drive... (read more)

Topics: Data science World Wide Web Information retrieval

DOI: 10.1177/01655515211060530

BIP! social metrics: 0 33
External links: Crossref OpenAIRE

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